Data for: Wintertime coastal upwelling in Lake Geneva: An efficient transport process for deep-water renewal in a large, deep lake
收藏NIAID Data Ecosystem2026-03-11 收录
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https://zenodo.org/record/3968409
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资源简介:
Combining field measurements, 3D numerical modeling and Lagrangian particle tracking,
we investigated wind-driven, Ekman-type coastal upwelling during the weakly stratified winter period 2017/2018
in Lake Geneva, a large and deep lake in western Europe. The data include measurements from
moored Acoustic Doppler Current Profilers (ADCP) and vertical temperature profiles
along with the corresponding 3D modeling and particle tracking results.
The three-dimensional model used in this study is based on the MIT General
Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775).
The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118).
创建时间:
2020-08-01



